• Journal of Korean Tunnelling and Underground Space Association
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• v.23 no.6
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• pp.549-558
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• 2021

In order to keep infrastructures such as tunnels and underground facilities safe, cracks of concrete lining in tunnel should be detected by regular inspections. Since regular inspections are accomplished through manual efforts using maintenance lift vehicles, it brings about traffic jam, exposes works to dangerous circumstances, and deteriorates consistency of crack inspection data. This study aims to provide methodology to automatically extract cracks from tunnel concrete lining images generated by the existing tunnel image acquisition system. Specifically, we train a deep learning based semantic segmentation model with open dataset, and evaluate its performance with the dataset from the existing tunnel image acquisition system. In particular, we compare the model performance in case of using all of a public dataset, subset of the public dataset which are related to tunnel surfaces, and the tunnel-related subset with negative examples. As a result, the model trained using the tunnel-related subset with negative examples reached the best performance. In the future, we expect that this research can be used for planning efficient model training strategy for crack detection.

• Journal of the Korea Institute of Building Construction
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• v.24 no.1
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• pp.145-156
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• 2024

In an era where construction projects are becoming increasingly large and complex, the Korean construction industry faces the challenge of implementing systematic and cohesive schedule management practices. This study initially delineates the concept of schedule management capabilities, systematically categorizing them into five distinct domains: law and regulations, requirements of project owners, capabilities of professionals and organizations, task capability, and the adoption of smart construction technologies for schedule management. Through a survey targeting industry professionals, this research assesses the perceived importance and the actual proficiency level in schedule management across these categories, employing an Importance Performance Analysis(IPA) to scrutinize these capabilities. The findings underscore the acknowledged significance of diverse aspects of schedule management, yet reveal discrepancies between the current proficiency levels and their perceived importance, pinpointing areas necessitating enhancement. Critical improvement needs identified encompass the planning of budgets for schedule management, development of regulations for assessing construction periods, deployment of specialized on-site staff for schedule management, and investment in advanced schedule management software solutions. Consequently, this study offers a nuanced analysis and strategic insights for enhancing schedule management practices, aiming to facilitate their effective implementation in the field.

• Journal of the Korean Institute of Landscape Architecture
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• v.50 no.6
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• pp.84-95
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• 2022

The landscaping of Amore-Pacific's new building has received various awards since its construction. This study attempted to identify the mechanisms of planning, design, and construction of this project through the ground theory. The results of the study are summarized as follows. The client's place attachment of the sites, which was the company's parent, was the driving force for an international design competiton in which architecture and landscaping were integrated. After that, in the detailed design stage for the actual implementation of the contest-winning plan, competent local designers and contractors were selected, and a consultative body was operated to engage in various opinions and promote rational decision-making. As for consultative body's operation method, simulation, physical model production, and detailed drawings were created after sharing opinions, and landscape design supervision played a major role. Establishing consistency in design and construction through integrated planning and landscape design supervision is required to cultivate craftsmanship and foster landscape coordinators in today's industrialized practice. The accumulation of related follow-up studies and supplementation of the system is anticipated.

• Journal of Korea Water Resources Association
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• v.57 no.1
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• pp.45-58
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• 2024

Drought risk is expected to increase as the frequency, intensity, and duration of droughts increase due to climate change. Drought risk is related to not only hydro-meteorological factors, but also water supply and demand. Recently, along with climate change, socioeconomic factors have also been recognized to increase drought risk. Therefore, it is necessary to outlook the drought risk considering various conditions for coping with future extreme droughts in a timely manner. In addition, considering various drought scenarios help reduce the uncertainty in future drought outlook. In this study, drought scenarios considering climate change scenarios, population, and water demand were created to outlook drought risk for 160 administrative districts in Korea, then new levels of drought risk were assigned based on the results of drought risk outlook to suggest drought management measures. The results showed that the drought risk will increase in the future in 2020, 2025, and 2030, compared to past. Especially the drought risk is likely twice as high in 2030 under the baseline and high scenarios. Applying the drought outlook results from this study to the new methodology for setting the risk levels shows that most regions are in Response (V) in 2020 and 2030 for baseline and high scenarios.

• Journal of the Korean Institute of Landscape Architecture
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• v.37 no.2
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• pp.1-13
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• 2009

The purpose of this study was to look into the feasibility of site suitability focused on the potential for environmentally- and water-friendly recreation area development in a wide area(Nakdong River 35km) and to study new methods for providing basic data in regard to the recreation planning over a wide area as well as in application to other sites. The results of this study are as follows. Through classification by mesh method, the site of this study was classified into 42 grids, and by means of the analysis of evaluation indicators, 20 indicators were established and sorted into 4 types of significant recreation activity. According to the results of the analysis for each recreation activity type, there were 8 essentials for water-friendly recreation activity types based on water use while water-friendly recreation types for static activity included 12 sub-essentials. As a result of the first evaluation(the minimum required evaluation) by each classified grid, 32 of the 42 total grids were implemented by the minimum requirements. These grids were usually distributed evenly through the whole site. In terms of the second evaluation(specific site evaluation) results, 6 grids were highly suitable for recreational nature experiences and landscape ecological learning, 4 grids for developing water-friendly recreation for exercise, 1 grid for building water-friendly recreation based on water use, and 4 grids for planning water-friendly recreation for static activity. The results of the grid evaluation of this study could be extended to contiguous grids or reduced. Actual planning for a water-friendly recreation area must change the grid shape or size through boundary adjustments.

• Journal of The Korean Association For Science Education
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• v.39 no.6
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• pp.695-706
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• 2019

This study conducted a case study on the process-centered evaluation competency of a middle-school/high-school science teacher using Teacher's Process-centered Evaluation Competency (T-PEC) measurement tool. The case analysis shows that teacher A in a middle school represents high competency of process-centered evaluation planning and cooperative communication while the competency of utilizing process-centered evaluation results is low owing to the characteristics of non-standardized areas. Teacher B in a high school shows high level of cooperative communication competency whereas low level of process-centered evaluation execution competency because the freedom given to students is not enough during the process of evaluation. The teacher also shows very low level of utilizing process-centered evaluation results due to the lack of time and the school culture not giving feedback to the students. According to cross-case analysis, teacher A and B both represent the highest level of collaborative communication competency and the lowest level of utilization process-centered evaluation results competency. And the lack of clear criteria for process-centered evaluation leads to different understanding of process-centered evaluation between the two teachers, and teacher B shows low the level of utilizing process-centered evaluation affects results due to the students not being concerned on feedback, security problem, and the reality focusing on the university entrance examination in high schools. Based on the results, this study suggests providing clear guidelines of process-centered evaluation to teachers, introducing an application in order to solve the time-lack problem pointed out as the biggest problem of process-centered evaluation, ensuring objectivity and security about process-centered evaluation results, and building the school culture such as the expanded application of standardized areas in order to implementing process-centered evaluation.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.2
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• pp.663-669
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• 2014

Background: With recent progress in health science administration, a huge amount of data has been collected from thousands of subjects. Statistical and computational techniques are very necessary to understand such data and to make valid scientific conclusions. The purpose of this paper was to develop a statistical probability model and to predict future survival times for male breast cancer patients who were diagnosed in the USA during 1973-2009. Materials and Methods: A random sample of 500 male patients was selected from the Surveillance Epidemiology and End Results (SEER) database. The survival times for the male patients were used to derive the statistical probability model. To measure the goodness of fit tests, the model building criterions: Akaike Information Criteria (AIC), Bayesian Information Criteria (BIC), and Deviance Information Criteria (DIC) were employed. A novel Bayesian method was used to derive the posterior density function for the parameters and the predictive inference for future survival times from the exponentiated Weibull model, assuming that the observed breast cancer survival data follow such type of model. The Markov chain Monte Carlo method was used to determine the inference for the parameters. Results: The summary results of certain demographic and socio-economic variables are reported. It was found that the exponentiated Weibull model fits the male survival data. Statistical inferences of the posterior parameters are presented. Mean predictive survival times, 95% predictive intervals, predictive skewness and kurtosis were obtained. Conclusions: The findings will hopefully be useful in treatment planning, healthcare resource allocation, and may motivate future research on breast cancer related survival issues.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.14
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• pp.5571-5575
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• 2014

Background: The ability to predict the survival time of breast cancer patients is important because of the potential high morbidity and mortality associated with the disease. To develop a predictive inference for determining the survival of breast cancer patients, we applied a novel Bayesian method. In this paper, we propose the development of a databased statistical probability model and application of the Bayesian method to predict future survival times for White Hispanic female breast cancer patients, diagnosed in the US during 1973-2009. Materials and Methods: A stratified random sample of White Hispanic female patient survival data was selected from the Surveillance Epidemiology and End Results (SEER) database to derive statistical probability models. Four were considered to identify the best-fit model. We used three standard model-building criteria, which included Akaike Information Criteria (AIC), Bayesian Information Criteria (BIC), and Deviance Information Criteria (DIC) to measure the goodness of fit. Furthermore, the Bayesian method was used to derive future survival inferences for survival times. Results: The highest number of White Hispanic female breast cancer patients in this sample was from New Mexico and the lowest from Hawaii. The mean (SD) age at diagnosis (years) was 58.2 (14.2). The mean (SD) of survival time (months) for White Hispanic females was 72.7 (32.2). We found that the exponentiated Weibull model best fit the survival times compared to other widely known statistical probability models. The predictive inference for future survival times is presented using the Bayesian method. Conclusions: The findings are significant for treatment planning and health-care cost allocation. They should also contribute to further research on breast cancer survival issues.

• Journal of the Korean Society for Library and Information Science
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• v.54 no.1
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• pp.223-242
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• 2020

Innovation in university library spaces is challenging to effectively support the education of the university's future learning and innovation capabilities, including creativity, critical thinking, communication and collaboration. The purpose of this study is to investigate the perception and need of library space from the perspective of users and librarians, and to suggest the direction of space innovation through this. For this study, we designed each questionnaire for users and librarians, and collected responses from 363 users and 186 librarians in the university library to analyze their needs and perceptions about their library space. The librarian's need for the space was analyzed by the size of the library and the demographic factors of the librarian. The user's need was analyzed by the user's attributes. In addition, we analyzed the differences between librarians and users for the need for space and space services. The results of this paper may be useful for reference when planning a new library or building a space based on user.

• Journal of the Korean Solar Energy Society
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• v.30 no.6
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• pp.81-88
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• 2010

This study compared the feasibility of utilizing a wood bioenergy system over a conventional central heating and cooling system and a cogeneration system in an apartment complex. The performance of the three systems were compared in the following areas: energy consumption, environmental impact(output of CO2, CH4, and N2O), and life cycle cost. The results showed that energy performance of the wood bioenergy system was similar to the conventional central system (just a 1% improvement) but the cogeneration system showed a 12% reduction in energy consumption compared to the conventional system. In terms of environmental impact, the bioenergy system reduced pollutants by 50% while the cogeneration system reduced pollutants by 30% compared to the conventional system. Life cycle cost analysis indicated bioenergy and cogeneration to have an 8% and 19% improvement over the conventional system. The findings of the study suggest that it is both economically and environmentally beneficial to use a wood bioenergy system in place of a conventional central heating and cooling system in apartment complexes.